We Are Entering Our Maintenance Era: Why Our Obsession With Innovation Is Breaking Our Tech, Our Workplaces, and Our Daily Lives

In the fast-paced world of technology, the relentless pursuit of the new has long reigned supreme. Companies launch shiny new features, developers push out rapid iterations, and consumers and enterprises alike are expected to eagerly adopt the latest digital tools. But beneath the surface of this unending wave of creation lies a quiet, growing crisis that few are adequately prepared to handle: software decays, and it does so at an alarming rate.

This reality was brought sharply into focus during a recent webinar centered on how journalists can utilize generative AI. During the discussion, a panelist expressed deep frustration over a persistent hurdle: developers within newsrooms are increasingly reluctant to invest time and resources into building AI verification tools. The root of this hesitation is not a lack of technical skill, but rather the nature of the problem itself. Because the challenge of detecting deepfakes and manipulated media is constantly evolving, any tool built to catch them would also need to be constantly updated and maintained.

For anyone living in the modern digital age, that sentiment strikes an immediate chord of empathy. For years, consumers and tech observers have grappled with the exhausting, never-ending maintenance cycle required simply to keep everyday technology running. Keeping a smart home, a smartphone, and a suite of digital services up to date is no longer a passive background task; it is an ongoing, labor-intensive chore.

This goes far beyond the routine application of basic security patches and software updates. It involves the tedious, often frustrating work of swapping out home automation rules when a third-party provider suddenly changes its application programming interfaces, or troubleshooting an entirely new workflow when a critical link between automation services like Zapier and a digital subscription gets unexpectedly severed. It includes the momentary disorientation of getting into a car, only to find that an overnight over-the-air update from Tesla has completely rearranged the dashboard layout and shifted vital information to a new location. Living with modern technology increasingly means living in a perpetual state of flux.

Instinctively, most people understand that software-driven environments are dynamic. However, both operationally and mentally, society has yet to fully adapt to the reality of constant change. Mentally recognizing that a connected device holds long-term value precisely because its feature set can continuously expand is one thing. Getting genuinely frustrated when a user interface suddenly changes overnight, or discovering that a new automated recipe setting on a smart oven cooks the evening chicken dinner completely differently than it did last week, is entirely another. Most human beings are simply not psychologically equipped to deal with constant, unpredictable change in every single facet of their daily lives. Consequently, the friction that occurs when a car, an appliance, or a software tool suddenly works differently can be jarring and exhausting.

On an operational level, major businesses and tech giants have largely failed to adapt to this reality as well, often clinging to corporate cultures that actively penalize stability in favor of novelty. Google provides a prime, highly visible example of this systemic misalignment. Within the tech giant’s corporate culture, employees are systematically rewarded and promoted for creating entirely new tools, applications, and software products. For a career-driven employee looking to get ahead, the clear incentive is to invent something new rather than maintain what already exists.

This incentive structure inevitably fosters an environment where beloved consumer tools and software products are left in a constant state of slow decay. When external partners or underlying platforms make changes, companies optimized purely for innovation may fail to react quickly enough to keep those tools functioning seamlessly. Google, of course, is far from alone in placing a premium on invention over upkeep.

This cultural clash between creation and preservation is perhaps most visible in industrial settings, where traditional information technology staff frequently lock horns with operational technology engineers inside manufacturing plants and facilities. IT personnel often accuse operations staff of fostering a culture of refusal, criticizing them for pushing back against the rapid integration of new automations and modern technologies into established factory floor processes.

Yet, the hesitation from the operational side is deeply rooted in practicality. Operations engineers possess a decades-long history of building and maintaining industrial processes that are consistent, reliable, and fundamentally knowable. Introducing IT systems into these environments adds a massive degree of entropy and an immediate demand for entirely new maintenance procedures—demands that corporate IT departments can sometimes balk at supporting once the initial deployment dust settles.

While the operational technology side has cultivated a deeply ingrained, historical culture of valuing maintenance and stability, the information technology side has notably failed to do so. As society moves rapidly toward embedding computing power into more and more everyday devices, physical objects, and critical industrial processes, this imbalance must be addressed. Software decays, and that decay happens rapidly.

As the inevitability of software decay continues to exert a heavier impact on day-to-day personal and professional lives, the tech industry and the broader corporate world must evolve. Businesses must begin to incentivize developers to maintain existing systems just as heavily as they reward them for creating new ones. Organizations must intentionally carve out time in their employees’ weekly schedules to allow them to adjust to shifting user interfaces, altered workflows, and modified underlying services. Furthermore, companies need to recognize that giving workers the time and mental space to experiment with new technological advances and understand shifting tools is not a distraction from real work—it is productive, essential work in a modern economy.

Much like legal and medical professionals who are legally and ethically required to complete ongoing continuing education to maintain their licenses, any profession that regularly intersects with advanced technology—which will soon include nearly all professions—needs a similar cultural ethos. Businesses must implement structures that both incentivize and actively support employees as they strive to adapt to a landscape of continuous change, including the massive structural shifts prompted by the rapid rise of artificial intelligence.

Building this resilient future will undoubtedly require a more curious, engaged workforce. But the burden of adaptation cannot rest solely on individual employees to muster up the necessary energy, patience, and enthusiasm on their own time. Maintaining digital services and successfully adapting to perpetually shifting software environments is generating massive economic value, and it must be recognized, measured, and treated as such by corporate leadership.

On the consumer front, this shift in perspective may fundamentally alter how people purchase and interact with technology. It may mean that consumers increasingly move toward ongoing subscription models for everyday products, ensuring that the companies behind those devices receive the continuous revenue streams necessary to fund the ongoing developer costs required to keep them secure and functional. Alternatively, it may mean that manufacturers begin selling products with explicitly stated support lifespans, featuring clear expiration dates detailing precisely when the company plans to cease maintaining the software that powers them.

If society truly wants to embed intelligence into everyday products, it can no longer afford to focus exclusively on launching new features and chasing the thrill of innovation. Manufacturers, developers, and business leaders must seriously consider how to maintain those products over their entire lifespans, and how to sustainably pay for that maintenance.

As computing technology continues to infiltrate everyday workflows and professional demands require an unprecedented ability to embrace continuous innovation, businesses must invest heavily in maintaining the skills of their workforce. Constant innovation without adequate support is inherently exhausting. Because that innovation is built on software, it remains uniquely prone to rapid entropy. Society must learn to value both the people and the dedicated time required to counteract that entropy, while simultaneously ensuring that both employees and consumers are given the necessary space to breathe, adapt, and navigate an era defined by perpetual change.